Xquery 3.0 69 Higher-Order Functions 75 Full-Text 82 Full-Text/Japanese 85 Xquery Update 87 Java Bindings 91 Packaging 92 Xquery Errors 95 Serialization 105
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JAXB Release Documentation JAXB Release Documentation Table of Contents
JAXB Release Documentation JAXB Release Documentation Table of Contents Overview .......................................................................................................................... 1 1. Documentation ....................................................................................................... 1 2. Software Licenses ................................................................................................... 1 3. Sample Apps .......................................................................................................... 2 3.1. Using the Runtime Binding Framework ............................................................ 2 Release Notes .................................................................................................................... 6 1. Java™ 2 Platform, Standard Edition (J2SE™) Requirements .......................................... 7 2. Identifying the JAR Files ......................................................................................... 7 3. Locating the Normative Binding Schema .................................................................... 7 4. Changelog ............................................................................................................. 7 4.1. Changes between 2.3.0.1 and 2.4.0 .................................................................. 7 4.2. Changes between 2.3.0 and 2.3.0.1 .................................................................. 7 4.3. Changes between 2.2.11 and 2.3.0 .................................................................. -
Fun Factor: Coding with Xquery a Conversation with Jason Hunter by Ivan Pedruzzi, Senior Product Architect for Stylus Studio
Fun Factor: Coding With XQuery A Conversation with Jason Hunter by Ivan Pedruzzi, Senior Product Architect for Stylus Studio Jason Hunter is the author of Java Servlet Programming and co-author of Java Enterprise Best Practices (both O'Reilly Media), an original contributor to Apache Tomcat, and a member of the expert groups responsible for Servlet, JSP, JAXP, and XQJ (XQuery API for Java) development. Jason is an Apache Member, and as Apache's representative to the Java Community Process Executive Committee he established a landmark agreement for open source Java. He co-created the open source JDOM library to enable optimized Java and XML integration. More recently, Jason's work has focused on XQuery technologies. In addition to helping on XQJ, he co-created BumbleBee, an XQuery test harness, and started XQuery.com, a popular XQuery development portal. Jason presently works as a Senior Engineer with Mark Logic, maker of Content Interaction Server, an XQuery-enabled database for content. Jason is interviewed by Ivan Pedruzzi, Senior Product Architect for Stylus Studio. Stylus Studio is the leading XML IDE for XML data integration, featuring advanced support for XQuery development, including XQuery editing, mapping, debugging and performance profiling. Ivan Pedruzzi: Hi, Jason. Thanks for taking the time to XQuery behind a J2EE server (I have a JSP tag library talk with The Stylus Scoop today. Most of our readers for this) but I’ve found it easier to simply put XQuery are familiar with your past work on Java Servlets; but directly on the web. What you do is put .xqy files on the could you tell us what was behind your more recent server that are XQuery scripts to produce XHTML interest and work in XQuery technologies? pages. -
SPARQL with Xquery-Based Filtering?
SPARQL with XQuery-based Filtering? Takahiro Komamizu Nagoya University, Japan [email protected] Abstract. Linked Open Data (LOD) has been proliferated over vari- ous domains, however, there are still lots of open data in various format other than RDF, a standard data description framework in LOD. These open data can also be connected to entities in LOD when they are as- sociated with URIs. Document-centric XML data are such open data that are connected with entities in LOD as supplemental documents for these entities, and to convert these XML data into RDF requires various techniques such as information extraction, ontology design and ontology mapping with human prior knowledge. To utilize document-centric XML data linked from entities in LOD, in this paper, a SPARQL-based seam- less access method on RDF and XML data is proposed. In particular, an extension to SPARQL, XQueryFILTER, which enables XQuery as a filter in SPARQL is proposed. For efficient query processing of the combination of SPARQL and XQuery, a database theory-based query optimization is proposed. Real-world scenario-based experiments in this paper showcase that effectiveness of XQueryFILTER and efficiency of the optimization. 1 Introduction Open data movement is a worldwide movement that data are published online with FAIR principle1. Linked Open Data (LOD) [4] started by Sir Tim Berners- Lee is best aligned with this principle. In LOD, factual records are represented by a set of triples consisting of subject, predicate and object in the form of a stan- dardized representation framework, RDF (Resource Description Framework) [5]. Each element in RDF is represented by network-accessible identifier called URI (Uniform Resource Identifier). -
Oracle® Big Data Connectors User's Guide
Oracle® Big Data Connectors User's Guide Release 4 (4.12) E93614-03 July 2018 Oracle Big Data Connectors User's Guide, Release 4 (4.12) E93614-03 Copyright © 2011, 2018, Oracle and/or its affiliates. All rights reserved. Primary Author: Frederick Kush This software and related documentation are provided under a license agreement containing restrictions on use and disclosure and are protected by intellectual property laws. Except as expressly permitted in your license agreement or allowed by law, you may not use, copy, reproduce, translate, broadcast, modify, license, transmit, distribute, exhibit, perform, publish, or display any part, in any form, or by any means. Reverse engineering, disassembly, or decompilation of this software, unless required by law for interoperability, is prohibited. The information contained herein is subject to change without notice and is not warranted to be error-free. If you find any errors, please report them to us in writing. If this is software or related documentation that is delivered to the U.S. Government or anyone licensing it on behalf of the U.S. Government, then the following notice is applicable: U.S. GOVERNMENT END USERS: Oracle programs, including any operating system, integrated software, any programs installed on the hardware, and/or documentation, delivered to U.S. Government end users are "commercial computer software" pursuant to the applicable Federal Acquisition Regulation and agency- specific supplemental regulations. As such, use, duplication, disclosure, modification, and adaptation of the programs, including any operating system, integrated software, any programs installed on the hardware, and/or documentation, shall be subject to license terms and license restrictions applicable to the programs. -
Bibliography of Erik Wilde
dretbiblio dretbiblio Erik Wilde's Bibliography References [1] AFIPS Fall Joint Computer Conference, San Francisco, California, December 1968. [2] Seventeenth IEEE Conference on Computer Communication Networks, Washington, D.C., 1978. [3] ACM SIGACT-SIGMOD Symposium on Principles of Database Systems, Los Angeles, Cal- ifornia, March 1982. ACM Press. [4] First Conference on Computer-Supported Cooperative Work, 1986. [5] 1987 ACM Conference on Hypertext, Chapel Hill, North Carolina, November 1987. ACM Press. [6] 18th IEEE International Symposium on Fault-Tolerant Computing, Tokyo, Japan, 1988. IEEE Computer Society Press. [7] Conference on Computer-Supported Cooperative Work, Portland, Oregon, 1988. ACM Press. [8] Conference on Office Information Systems, Palo Alto, California, March 1988. [9] 1989 ACM Conference on Hypertext, Pittsburgh, Pennsylvania, November 1989. ACM Press. [10] UNIX | The Legend Evolves. Summer 1990 UKUUG Conference, Buntingford, UK, 1990. UKUUG. [11] Fourth ACM Symposium on User Interface Software and Technology, Hilton Head, South Carolina, November 1991. [12] GLOBECOM'91 Conference, Phoenix, Arizona, 1991. IEEE Computer Society Press. [13] IEEE INFOCOM '91 Conference on Computer Communications, Bal Harbour, Florida, 1991. IEEE Computer Society Press. [14] IEEE International Conference on Communications, Denver, Colorado, June 1991. [15] International Workshop on CSCW, Berlin, Germany, April 1991. [16] Third ACM Conference on Hypertext, San Antonio, Texas, December 1991. ACM Press. [17] 11th Symposium on Reliable Distributed Systems, Houston, Texas, 1992. IEEE Computer Society Press. [18] 3rd Joint European Networking Conference, Innsbruck, Austria, May 1992. [19] Fourth ACM Conference on Hypertext, Milano, Italy, November 1992. ACM Press. [20] GLOBECOM'92 Conference, Orlando, Florida, December 1992. IEEE Computer Society Press. http://github.com/dret/biblio (August 29, 2018) 1 dretbiblio [21] IEEE INFOCOM '92 Conference on Computer Communications, Florence, Italy, 1992. -
Basex Server
BaseX Documentation Version 7.8 BaseX Documentation: Version 7.8 Content is available under Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0). Table of Contents 1. Main Page .............................................................................................................................. 1 Getting Started .................................................................................................................. 1 XQuery Portal .................................................................................................................... 1 Advanced User's Guide ..................................................................................................... 2 I. Getting Started ........................................................................................................................ 3 2. Command-Line Options ................................................................................................... 4 BaseX Standalone ..................................................................................................... 4 BaseX Server ............................................................................................................ 6 BaseX Client ............................................................................................................. 7 BaseX HTTP Server .................................................................................................. 9 BaseX GUI ............................................................................................................. -
XML for Java Developers G22.3033-002 Course Roadmap
XML for Java Developers G22.3033-002 Session 1 - Main Theme Markup Language Technologies (Part I) Dr. Jean-Claude Franchitti New York University Computer Science Department Courant Institute of Mathematical Sciences 1 Course Roadmap Consider the Spectrum of Applications Architectures Distributed vs. Decentralized Apps + Thick vs. Thin Clients J2EE for eCommerce vs. J2EE/Web Services, JXTA, etc. Learn Specific XML/Java “Patterns” Used for Data/Content Presentation, Data Exchange, and Application Configuration Cover XML/Java Technologies According to their Use in the Various Phases of the Application Development Lifecycle (i.e., Discovery, Design, Development, Deployment, Administration) e.g., Modeling, Configuration Management, Processing, Rendering, Querying, Secure Messaging, etc. Develop XML Applications as Assemblies of Reusable XML- Based Services (Applications of XML + Java Applications) 2 1 Agenda XML Generics Course Logistics, Structure and Objectives History of Meta-Markup Languages XML Applications: Markup Languages XML Information Modeling Applications XML-Based Architectures XML and Java XML Development Tools Summary Class Project Readings Assignment #1a 3 Part I Introduction 4 2 XML Generics XML means eXtensible Markup Language XML expresses the structure of information (i.e., document content) separately from its presentation XSL style sheets are used to convert documents to a presentation format that can be processed by a target presentation device (e.g., HTML in the case of legacy browsers) Need a -
Supporting SPARQL Update Queries in RDF-XML Integration *
Supporting SPARQL Update Queries in RDF-XML Integration * Nikos Bikakis1 † Chrisa Tsinaraki2 Ioannis Stavrakantonakis3 4 Stavros Christodoulakis 1 NTU Athens & R.C. ATHENA, Greece 2 EU Joint Research Center, Italy 3 STI, University of Innsbruck, Austria 4 Technical University of Crete, Greece Abstract. The Web of Data encourages organizations and companies to publish their data according to the Linked Data practices and offer SPARQL endpoints. On the other hand, the dominant standard for information exchange is XML. The SPARQL2XQuery Framework focuses on the automatic translation of SPARQL queries in XQuery expressions in order to access XML data across the Web. In this paper, we outline our ongoing work on supporting update queries in the RDF–XML integration scenario. Keywords: SPARQL2XQuery, SPARQL to XQuery, XML Schema to OWL, SPARQL update, XQuery Update, SPARQL 1.1. 1 Introduction The SPARQL2XQuery Framework, that we have previously developed [6], aims to bridge the heterogeneity issues that arise in the consumption of XML-based sources within Semantic Web. In our working scenario, mappings between RDF/S–OWL and XML sources are automatically derived or manually specified. Using these mappings, the SPARQL queries are translated on the fly into XQuery expressions, which access the XML data. Therefore, the current version of SPARQL2XQuery provides read-only access to XML data. In this paper, we outline our ongoing work on extending the SPARQL2XQuery Framework towards supporting SPARQL update queries. Both SPARQL and XQuery have recently standardized their update operation seman- tics in the SPARQL 1.1 and XQuery Update Facility, respectively. We have studied the correspondences between the update operations of these query languages, and we de- scribe the extension of our mapping model and the SPARQL-to-XQuery translation algorithm towards supporting SPARQL update queries. -
XML Transformations, Views and Updates Based on Xquery Fragments
Faculteit Wetenschappen Informatica XML Transformations, Views and Updates based on XQuery Fragments Proefschrift voorgelegd tot het behalen van de graad van doctor in de wetenschappen aan de Universiteit Antwerpen, te verdedigen door Roel VERCAMMEN Promotor: Prof. Dr. Jan Paredaens Antwerpen, 2008 Co-promotor: Dr. Ir. Jan Hidders XML Transformations, Views and Updates based on XQuery Fragments Roel Vercammen Universiteit Antwerpen, 2008 http://www.universiteitantwerpen.be Permission to make digital or hard copies of portions of this work for personal or classroom use is granted, provided that the copies are not made or distributed for profit or commercial advantage and that copies bear this notice. Copyrights for components of this work owned by others than the author must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission of the author. Research funded by a Ph.D. grant of the Institute for the Promotion of Innovation through Science and Technology in Flan- ders (IWT-Vlaanderen). { Onderzoek gefinancierd met een specialisatiebeurs van het Instituut voor de Aanmoediging van Innovatie door Wetenschap en Technologie in Vlaanderen (IWT-Vlaanderen). Grant number / Beurs nummer: 33581. http://www.iwt.be Typesetting by LATEX Acknowledgements This thesis is the result of the contributions of many friends and colleagues to whom I would like to say \thank you". First and foremost, I want to thank my advisor Jan Paredaens, who gave me the opportunity to become a researcher and teached me how good research should be performed. I had the honor to write several papers in collaboration with him and will always remember the discussions and his interesting views on research, politics and gastronomy. -
JSON Application Programming Interface for Discrete Event Simulation Data Exchange
JSON Application Programming Interface for Discrete Event Simulation data exchange Ioannis Papagiannopoulos Enterprise Research Centre Faculty of Science and Engineering Design and Manufacturing Technology University of Limerick Submitted to the University of Limerick for the degree of Master of Engineering 2015 1. Supervisor: Prof. Cathal Heavey Enterprise Research Centre University of Limerick Ireland ii Abstract This research is conducted as part of a project that has the overall aim to develop an open source discrete event simulation (DES) platform that is expandable, and modular aiming to support the use of DES at multi-levels of manufacturing com- panies. The current work focuses on DES data exchange within this platform. The goal of this thesis is to develop a DES exchange interface between three different modules: (i) ManPy an open source discrete event simulation engine developed in Python on the SimPy library; (ii) A Knowledge Extraction (KE) tool used to populate the ManPy simulation engine from shop-floor data stored within an Enterprise Requirements Planning (ERP) or a Manufacturing Execution System (MES) to allow the potential for real-time simulation. The development of the tool is based on R scripting language, and different Python libraries; (iii) A Graphical User Interface (GUI) developed in JavaScript used to provide an interface in a similar manner to Commercial off-the-shelf (COTS) DES tools. In the literature review the main standards that could be used are reviewed. Based on this review and the requirements above, the data exchange format standard JavaScript Object Notation (JSON) was selected. The proposed solution accom- plishes interoperability between different modules using an open source, expand- able, and easy to adopt and maintain, in an all inclusive JSON file. -
JSON JSON (Javascript Object Notation) Ecmascript Javascript
ECMAScript JSON ECMAScript is standardized JavaScript. The current version is the 12th edition: Péter Jeszenszky Ecma International, ECMAScript 2021 Language Specification, Standard ECMA-262, 12th ed., June 2021. https://www.ecma- international.org/publications-and-standards/standards/ecma-262/ October 8, 2021 The next version currently under development is ECMAScript 2022: ECMAScript 2022 Language Specification https://tc39.es/ecma262/ Péter Jeszenszky JSON October 8, 2021 1 / 94 Péter Jeszenszky JSON October 8, 2021 3 / 94 JSON (JavaScript Object Notation) JavaScript Lightweight, textual, and platform independent data exchange format. Used for representing structured data. The term JavaScript is used for the implementations of ECMAScript by different vendors. Can be read and written easily by humans. See also: JavaScript technologies overview Can be generated and processed easily by computer programs. https://developer.mozilla.org/en- US/docs/Web/JavaScript/JavaScript_technologies_overview Originates from the ECMAScript programming language. Website: https://www.json.org/ Péter Jeszenszky JSON October 8, 2021 2 / 94 Péter Jeszenszky JSON October 8, 2021 4 / 94 JavaScript Engines (1) Node.js (1) SpiderMonkey (written in: C/C++; license: Mozilla Public License 2.0) https://spidermonkey.dev/ A JavaScript runtime environment built on the V8 JavaScript engine The JavaScript engine of the Mozilla Project. that is designed to build scalable network applications. V8 (written in: C++; license: New BSD License) https://v8.dev/ Website: https://nodejs.org/ https://github.com/nodejs/node https://github.com/v8/v8/ License: MIT License The JavaScript engine of Chromium. Written in: C++, JavaScript JavaScriptCore (written in: C++; license: LGPLv2) https://developer.apple.com/documentation/javascriptcore https: Platform: Linux, macOS, Windows //github.com/WebKit/webkit/tree/master/Source/JavaScriptCore The JavaScript engine developed for the WebKit rendering engine. -
Multimodel Database with Ora
Disclaimer The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle. MULTIMODEL DATABASE WITH ORACLE DATABASE 18C Table of Contents Introduction 1 Multimodel Database Architecture 2 Multimodel Database Features in Oracle 18c 3 JSON in Oracle Database 5 Graph Database and Analytics in Oracle Spatial and Graph 6 Property Graph Features in Oracle Spatial and Graph 6 RDF Semantic Graph Triple Store Features in Oracle Spatial and Graph 7 Spatial Database and Analytics in Oracle Spatial and Graph 7 Sharded Database Model 8 Oracle XML DB 9 Oracle Text 10 Oracle SecureFiles 10 Storage Optimization in SecureFiles 10 SecureFiles Features in Oracle Database 18c 11 Conclusion 12 0 | MULTIMODEL DATABASE WITH ORACLE DATABASE 18C Introduction Over the nearly 40 years in the evolution of commercial relational database management systems, a consistent pattern has emerged as the capabilities, data types, analytics, and data models have been developed and adopted. With each new generation of computing architecture – from centralized mainframe, to client server, to internet computing, to the Cloud – new generations of data management systems have been developed to address new applications, workloads and workflows. Today, the successful operation of corporations, enterprises, and other organizations relies on the management, understanding and efficient use of vast amounts of unstructured Big Data that may come from social media, web content, sensors and machine output, and documents.